Two people beside the crystalline WIZIUM W at sunrise.

About WIZIUM

Commerce moves the world.We build what’s next.

WIZIUM brings AI agents, specialists and business memory into one operating environment for e-commerce. We’re building infrastructure that helps smaller teams do more, with the work visible and the decisions in their hands.

Founder’s Voice

A NEW KIND OF COMPANY.
BUILT FOR COMMERCE.

Why we’re building agentic companies—and what that could make possible for the people behind them.

I imagine a world where more people can turn a good idea into a business—and still have the freedom to live, learn, and create.

Commerce makes that possible. It connects what people need with the people, resources, and ingenuity that can meet those needs. But between an idea and a working business lie thousands of decisions: what to sell, where to source it, how to price it, when to commit capital, and what to change when reality differs from the plan.

WIZIUM is building the environment in which entrepreneurs and agencies can create agentic companies for commerce. Companies where people and AI agents share context, follow connected workflows, and turn decisions into work that moves forward.

A company that remembers—and can act

An agentic company has a working memory of its goals, constraints, evidence, and decisions. Agents carry out defined work within that context. People set direction, evaluate trade-offs, and retain authority over the commitments that matter.

Imagine arriving with a few product ideas and a budget. Your company helps refine those ideas, investigate demand, and compare the economics. You can see why one opportunity deserves a closer look, what the evidence supports, and what remains uncertain.

Once you choose a direction, the work continues into sourcing, samples, launch preparation, and operations. A supplier’s new quote can be connected to the calculations and decisions it affects. Each step carries forward what the business has learned.

For a brand owner, this means a clear view of products, economics, work in progress, and decisions awaiting approval. For an agency, it means managing several client companies with a distinct context for each, while making its own expertise and methods available across the team.

One route opens a much larger possibility

Our first deeply developed platform route is an Amazon launch. Three agent roles make the work concrete: the AI Product Researcher investigates opportunities and prepares a shortlist; the AI Sourcing Manager helps prepare supplier inquiries and compare offers; and the AI Launch Specialist prepares the materials and tasks needed to bring a product to market. Specialists review the work, and the owner makes decisions at defined checkpoints. Through Premium, we lead projects for Amazon and TikTok Shop.

The larger ambition extends throughout the life of the business: managing a product portfolio, responding to changing demand and costs, and deciding where to invest attention and resources next.

That is what Universal Multichannel means to us. Each channel needs its own workflows, integrations, and commercial logic. The company should retain a shared understanding of its products, history, and financial constraints as it adds those channels. Expansion should build on what it already knows.

Commerce will have many kinds of buyers

I expect a mixed world. People will keep choosing products themselves because discovery can be useful, personal, and enjoyable. They will delegate other purchases to assistants. Connected devices will initiate some requests, such as replenishing supplies.

Sellers need infrastructure that can serve all of them. A buyer or buying agent needs accurate product information, availability, and terms. A delivery promise needs real inventory and a process that can fulfill it. A price needs economics the seller understands.

This is why AI-to-AI infrastructure is central to our vision. We want a seller’s operating environment to connect with agents acting for buyers, suppliers, and other participants in commerce. They could exchange requests, evaluate offers, clarify terms, and carry out authorized steps while preserving a record of what was agreed.

The opportunity is to make a company ready to participate: reliable information, connected operations, clear permissions, and accountability. As standards evolve, sellers should be able to reach new forms of demand through the business they already operate.

Better models should make your company stronger

AI models can reason, use tools, and retain context. Their progress expands what WIZIUM can do.

Running a commerce company also requires maintained workflows, integrations, project status, access controls, specialist judgment, and a record of approvals and outcomes. A founder building around a general-purpose assistant has to assemble and maintain that environment too.

That is the product responsibility WIZIUM takes on. Our aim is for better models to become part of an operating company without losing its history, methods, or continuity.

We also see a long-term advantage in learning from real work. Each project can improve how a workflow is designed, which checks matter, and when a specialist should step in. With permission, aggregated and de-identified outcomes could help improve the system’s methods while private client information stays within its project boundaries. Useful operating knowledge takes time to build.

From operating knowledge to better capital decisions

The same foundation opens a financial path. Connecting demand, purchasing, inventory, and cash flow can give a company a clearer understanding of the capital it needs and the assumptions behind that need.

AI Finance begins, in our vision, with those questions: how much capital, for which stage, under which conditions, and with what exposure if the assumptions change? Over time, a reliable operating record could also help financial institutions evaluate a business through its actual activity. Developing that capability requires its own risk model, controls, and appropriate financial structure.

Capital as a Service is a longer-term horizon. We want to explore how capital can connect with well-supported commercial opportunities and the capacity to execute them: a product thesis, a team of people and agents, resources, and clear rules for participation.

These financial layers remain a vision to develop. They already influence how we think about WIZIUM: economics should stay connected to actions, decisions should be traceable, and authority should remain controllable.

Produce more thoughtfully. Live more fully.

I want these companies to help bring more genuinely useful products into the world. Understanding demand before purchasing inventory, paying attention to quality, and planning more carefully can help reduce unnecessary stock and wasted resources. Sustainability starts with a practical question: should this product be made, for whom, and in what quantity? The environmental results need to be measured.

I also want AI to be a serious partner to people: helping us see more, understand consequences, and learn from our decisions. As information and tools multiply, that partnership should give us greater agency and more room for creativity, relationships, and life beyond the screen.

Commerce will evolve as agents become part of how people buy and businesses operate. We are building WIZIUM so entrepreneurs and agencies can help shape that future—with a company of their own, an idea worth pursuing, and the authority to decide where it goes.

If you share this ambition as an entrepreneur, investor, or technology partner, I invite you to talk with us about what we can build together.

Andrey Botnev

Founder & CEO, WIZIUM

Let’s build what comes next

Your business with WIZIUM

WHAT CHANGES
FOR YOUR BUSINESS.

WIZIUM connects product research, sourcing, and launch in one workflow. For a brand, that starts with a product. For an agency, a client project. Here is what changes for the people building the business.

01

A clearer decision before you commit.

Compare product opportunities, supplier options, and estimated costs before committing money. See the reasoning and the open questions behind the recommendation.

02

Less work lost between steps.

Keep the brief, decisions, and project status together as research moves into sourcing and launch. People and agents can pick up the work with the context they need.

03

More room to build your business.

Agents prepare the research, supplier comparisons, and launch materials. Experts step in where judgment is needed. You choose the direction, approve commitments, and decide what to build next.

What would you like to build?

Discuss your project with WIZIUM →

PRODUCT. PARTNERSHIP. MOMENTUM.

Commerce. Product. AI.

The people building WIZIUM.

Ilia Aboimov, CPO at WIZIUM
CPO

Ilia Aboimov

Ilia spent more than a decade in FMCG and fashion retail, progressing from warehouse and store operations to managing a group of stores. He later led digital products for on-shelf availability, retail analytics and retail media, combining operating experience with more than five years in product management.

FocusTurn messy operating reality into product systems people can actually use.
LinkedIn
Anna Kulik, CMO at WIZIUM
CMO

Anna Kulik

Anna brings 15+ years in technology marketing, international consulting and digital product launches. Based in Israel, she has worked across cybersecurity, IT and startup growth, including IDC’s Beyond Global Challenges initiative. She has applied AI in marketing since 2021 and now leads WIZIUM’s brand, go-to-market strategy and Research Lab.

FocusBring customer insight into the product, and make complex ideas clear, useful and human.
LinkedIn
Denys Tkachenko, COO at WIZIUM
COO

Denys Tkachenko

Lead full-stack developer building scalable web products across fintech, AI, health analytics and cloud storage. Denys works end to end — from real-time interfaces, performance and mobile experiences to the services behind them — and is pursuing graduate studies in AI and machine learning. As COO he also runs WIZIUM's day-to-day operations, keeping engineering, delivery and priorities on one plan.

FocusBuild what a client’s business will need next, not only the feature that was asked for.
LinkedIn
Vladislav Botnev, Data Scientist at WIZIUM
Data Science & AI

Vladislav Botnev

A Data Science student at NOVA IMS in Lisbon and former Junior Data Scientist at Noventiq. Vladislav combines machine learning with hands-on product experimentation. His startup work includes a prize-winning university project featured on Portuguese national television.

FocusTurn technical curiosity into useful AI products through testing, building and learning.
LinkedIn
Viktoriya Mokhovikova, Data Scientist at WIZIUM
Data Scientist

Viktoriya Mokhovikova

With a Data Science background at NOVA IMS, Viktoriya works across machine learning, forecasting, databases and visualization. Her projects include surf-school booking and wellbeing applications. She also brings experience teaching mathematics and building startup communities, connecting analytical work with how people learn and use products.

FocusUse data to simplify real processes while keeping curiosity about the people behind them.
LinkedIn
Kamilla Bogoutinova, product and delivery team at WIZIUM
Product & Delivery

Kamilla Bogoutinova

Kamilla has five years of experience launching products and coordinating cross-functional teams at Softline. With a background in international trade, product management and Scrum, she connects delivery planning, interface design and process improvement to help teams move work forward with clarity.

Artem Kuzyomkin, Backend Developer at WIZIUM
Backend Developer

Artem Kuzyomkin

Backend developer with more than six years of experience in Python, microservices and product architecture. Artem has modernized legacy systems, built integrations and helped teams deliver new products. At WIZIUM, he develops the architecture and services that connect the platform’s capabilities.

Focus
Build a dependable foundation that lets the product grow without making the work more complicated.
LinkedIn
Arseniy Prorokov, Data Scientist at WIZIUM
Data Scientist

Arseniy Prorokov

A Data Science Master’s student at NOVA IMS and former Noventiq Software Engineer, Arseniy holds a scholarship for academic excellence. His focus is advancing practical AI and machine learning research to build autonomous systems and intelligent automations that solve real-world business problems.

FocusAdvance practical AI and machine learning research to build autonomous systems for real business problems.
LinkedIn
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